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QS Rank:

verified

264

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Norwegian University of Science and Technology

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Trondheim

Norway

Overview

The PhD research project is part of the new Norwegian Maritime AI Centre, led by NTNU./nThe objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM)./nThe primary challenge in predictive maintenance lies in accurately determining the point at which maintenance intervention becomes necessary, commonly expressed in terms of the remaining useful life (RUL) of a component or system./nThe estimation of RUL can be conceptualized as a specialized form of anomaly detection: identify anomalies that evolve gradually and forecast the time-to-failure. The doctoral research aims to integrate state-of-the-art advancements in condition monitoring and predictive maintenance with emerging methodologies in artificial intelligence and adapt these approaches for application within the maritime domain.
intake

Duration

3 Months

Ranking

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#281

US World and News Report

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#264

QS World University Rankings

Class Profile

Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

    • intake

      Cover Letter

    Application Deadlines

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    springFeb 26, 2026

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